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An Age-Specific Atlas for Delineation of White Matter Pathways in Children Aged 6-8 Years
Arthur P C Spencer1,2, Hollie Byrne1, Richard Lee-Kelland2
1Clinical Research and Imaging Centre, University of Bristol, Bristol, United Kingdom.
Insights
A new age-specific white matter atlas for children aged 6-8 years improves accuracy in diffusion MRI analysis. This probabilistic atlas enhances measurement of white matter tracts compared to adult templates.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Biomedical Engineering
Background:
- Diffusion MRI assesses white matter connectivity noninvasively.
- Probabilistic atlases are crucial for spatial normalization in group analyses.
- Adult atlases may be suboptimal for pediatric brain development studies.
Purpose of the Study:
- To create an age-specific probabilistic white matter atlas for children aged 6-8 years.
- To compare the accuracy of this new atlas against an adult atlas for diffusion MRI analysis.
Main Methods:
- Averaged subject-specific fiber bundles from 28 children (6-8 years) to create a 12-tract atlas.
- Validated the atlas against subject-specific fiber bundles in two independent cohorts.
- Assessed accuracy via volumetric overlap and diffusion metric correlation.
Main Results:
- The age-specific atlas demonstrated superior performance over the adult atlas.
- Achieved higher volumetric overlap and stronger correlation of fractional anisotropy (FA) measurements.
- Significantly improved FA estimation accuracy for key white matter tracts.
Conclusions:
- The developed atlas accurately delineates pediatric white matter tracts (ages 6-8) without tractography.
- Offers improved accuracy over adult atlases for normalizing pediatric diffusion MRI data.
- Represents the first publicly available probabilistic white matter atlas for this age group.
Abstract:
Introduction: Diffusion magnetic resonance imaging (MRI) allows noninvasive assessment of white matter connectivity in typical development and of changes due to brain injury or pathology. Probabilistic white matter atlases allow diffusion metrics to be measured in specific white matter pathways, and are a critical component in spatial normalization for group analysis. However, given the known developmental changes in white matter it may be suboptimal to use an adult template when assessing data acquired from children. Methods: By averaging subject-specific fiber bundles from 28 children aged from 6 to 8 years, we created an age-specific probabilistic white matter atlas for 12 major white matter tracts. Using both the newly developed and Johns Hopkins adult atlases, we compared the atlas with subject-specific fiber bundles in two independent validation cohorts, assessing accuracy in terms of volumetric overlap and measured diffusion metrics. Results: Our age-specific atlas gave better overall performance than the adult atlas, achieving higher volumetric overlap with subject-specific fiber tracking and higher correlation of fractional anisotropy (FA) measurements with those measured from subject-specific fiber bundles. Specifically, estimates of FA values for corticospinal tract, uncinate fasciculus, forceps minor, cingulate gyrus part of the cingulum, and anterior thalamic radiation were all significantly more accurate when estimated with an age-specific atlas. Discussion: The age-specific atlas allows delineation of white matter tracts in children aged 6-8 years, without the need for tractography, more accurately than when normalizing to an adult atlas. To our knowledge, this is the first publicly available probabilistic atlas of white matter tracts for this age group.
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